Semantic key index creating method and system

Abstract

The embodiment of the invention provides a semantic key index creating method. The semantic key index creating method comprises the steps that properties of words of input statements and plying statements of all pairs of statements are analyzed, and semantic keys meeting preset property requirements in each statement are extracted; according to the semantic keys, all the statements in a dialogue corpus are clustered, and the statements of each category correspond to the same semantic key; all categories of statement training sequences in the dialogue corpus are utilized to obtain sequence models, and an encoding network capable of mapping statements into actual value vectors is obtained; the statements belonging to the same category are encoded by utilizing the encoding network, and actualvalue vector sets corresponding to the semantic keys are obtained; multiple actual value vectors are selected from the actual value vector sets corresponding to the semantic keys are selected to forma memory matrix, and semantic key indexes are established for the semantic keys and memory matrix keys. The embodiment of the invention also provides a semantic key index creating system. The statements generated in the embodiment of the invention have diversity and directionality.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method and system for creating a semantic key index. Background technique [0002] Advances in machine learning research have accelerated the development of speech dialogue systems. The interactive ability of the voice dialogue system has brought more and more voice dialogue applications. Among them, the chat robot can best reflect the function of the voice dialogue system. According to the answer method set by the developer, when the chat robot receives a dialogue , it will find an appropriate answer through the algorithm, and output a reply. [0003] Generally speaking, there are two main techniques for this algorithm: [0004] 1. Traditional retrieval model based on retrieval technology; [0005] 2. A generative model based on deep learning technology. [0006] Among them, the retrieval model based on retrieval technology mainly builds a large-scale dialogue databa...

AI Technical Summary

Problems solved by technology

[0011] In order to at least solve the problem that the generative model based on deep learning technology in the prior art is easy to generate general information, it is difficult to control emotional themes, and it does not have diversity

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